Papers
18
Total Citations
160
H-Index
6
About
Arpan Pal is a leading researcher at the intersection of artificial intelligence, robotics, and industrial automation, with a focus on creating intelligent, human-aware systems for manufacturing and service environments. His work spans critical areas including AI-driven manufacturing optimization, human-robot collaboration, and edge computing for robotics. Pal’s most cited paper, “A critical review on applications of artificial intelligence in manufacturing” (2023, 62 citations), provides a comprehensive analysis of AI’s transformative role in Industry 4.0. He has pioneered approaches to enable robots to understand natural human conversation for task identification (15 citations) and developed human-like sensing techniques for remote inspection (13 citations). His contributions to cloud robotics include dynamic path selection for multi-robot wireless networks (11 citations) and knowledge-centric frameworks for conceptualizing robotic solutions (9 citations). Pal has also advanced practical applications such as vibration analysis using optical sampling (8 citations) and concept-based anomaly detection in retail for autonomous correction by mobile robots (5 citations). His recent work on task-agnostic distillation for edge foundation models (2024, 4 citations) addresses the growing need for efficient, low-energy AI deployment on edge devices. Through his innovative research, Pal is shaping the future of intelligent, collaborative robotics in industrial and commercial settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2Enabling Human-Like Task Identification From Natural Conversation15 citations · 2019
- 3Human-Like Sensing for Robotic Remote Inspection and Analytics13 citations · 2016
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- 5A knowledge centric approach to conceptualizing robotic solutions9 citations · 2019
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